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Control in Bioprocessing - Modeling, Estimation and the Use of Soft Sensors (Hardcover)
Loot Price: R3,474
Discovery Miles 34 740
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Control in Bioprocessing - Modeling, Estimation and the Use of Soft Sensors (Hardcover)
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Closes the gap between bioscience and mathematics-based process
engineering This book presents the most commonly employed
approaches in the control of bioprocesses. It discusses the role
that control theory plays in understanding the mechanisms of
cellular and metabolic processes, and presents key results in
various fields such as dynamic modeling, dynamic properties of
bioprocess models, software sensors designed for the online
estimation of parameters and state variables, and control and
supervision of bioprocesses Control in Bioengineering and
Bioprocessing: Modeling, Estimation and the Use of Sensors is
divided into three sections. Part I, Mathematical preliminaries and
overview of the control and monitoring of bioprocess, provides a
general overview of the control and monitoring of bioprocesses, and
introduces the mathematical framework necessary for the analysis
and characterization of bioprocess dynamics. Part II, Observability
and control concepts, presents the observability concepts which
form the basis of design online estimation algorithms (software
sensor) for bioprocesses, and reviews controllability of these
concepts, including automatic feedback control systems. Part III,
Software sensors and observer-based control schemes for
bioprocesses, features six application cases including dynamic
behavior of 3-dimensional continuous bioreactors; observability
analysis applied to 2D and 3D bioreactors with inhibitory and
non-inhibitory models; and regulation of a continuously stirred
bioreactor via modeling error compensation. Applicable across all
areas of bioprocess engineering, including food and beverages,
biofuels and renewable energy, pharmaceuticals and nutraceuticals,
fermentation systems, product separation technologies, wastewater
and solid-waste treatment technology, and bioremediation Provides a
clear explanation of the mass-balance-based mathematical modelling
of bioprocesses and the main tools for its dynamic analysis Offers
industry-based applications on: myco-diesel for implementing
"quality" of observability; developing a virtual sensor based on
the Just-In-Time Model to monitor biological control systems; and
virtual sensor design for state estimation in a photocatalytic
bioreactor for hydrogen production Control in Bioengineering and
Bioprocessing is intended as a foundational text for graduate level
students in bioengineering, as well as a reference text for
researchers, engineers, and other practitioners interested in the
field of estimation and control of bioprocesses.
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